There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; a system profile store; and a ransomware detection engine including instructions encoded within the memory to instruct the processor to: detect an operation, by a process, that results in an operation on a file, wherein the operation includes newly creating the file including a file type identifier, or where the file is an existing file, changing a file type identifier for the file; querying the system profile store with a combination of the file type identifier and metadata about the file; based at least in part on the querying, determining that the process is a suspected ransomware attack; and taking a remedial action.
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2. The computing apparatus of claim 1, wherein at least some filename extensions follow a final dot (“.”) in a file's name.
A computing apparatus is designed to manage file naming conventions, particularly focusing on filename extensions that follow a final dot (.) in a file's name. The apparatus includes a processor and memory storing instructions that, when executed, perform operations related to file naming. These operations include detecting filename extensions in a file's name, where the extension follows the last dot in the filename. The apparatus may also validate or enforce naming rules, such as ensuring that only certain characters or formats are used in extensions. Additionally, the apparatus can process filenames to extract or modify extensions, ensuring consistency across a file system. The system may also handle cases where multiple dots appear in a filename, determining which segment after the final dot should be treated as the extension. This approach helps maintain uniformity in file naming, improving file organization and compatibility with software systems that rely on standardized extensions. The apparatus may further integrate with file management systems to apply these naming conventions automatically or upon user request, reducing errors and enhancing system efficiency.
3. The computing apparatus of claim 1, wherein the four-byte sequences are a first four bytes of a file.
A computing apparatus is designed to analyze file data for security or integrity verification. The apparatus processes files by examining specific byte sequences within the files to detect patterns, anomalies, or signatures that may indicate malicious content, corruption, or unauthorized modifications. The apparatus includes a memory storing a plurality of files and a processor configured to extract and analyze byte sequences from these files. In particular, the apparatus focuses on the first four bytes of each file, which often contain critical metadata or identifiers that can reveal file type, structure, or potential threats. By comparing these initial byte sequences against known patterns or threat databases, the apparatus can determine whether a file is safe, corrupted, or malicious. This analysis helps in identifying file-based attacks, ensuring data integrity, and maintaining system security. The apparatus may also support additional file analysis techniques, such as checksum verification or signature scanning, to enhance detection accuracy. The system is particularly useful in environments where rapid and automated file validation is required, such as in cybersecurity applications, data integrity checks, or file transfer protocols.
4. The computing apparatus of claim 1, wherein the instructions are further to exclude a based on determining that the first filename extension for the changed file is included in an ignore list.
A computing apparatus processes file changes in a version control system to identify relevant modifications. The apparatus monitors a file system for changes, detects when a file is modified, and analyzes the changed file to determine its relevance. The apparatus checks the filename extension of the modified file against a predefined ignore list. If the extension is found in the ignore list, the apparatus excludes the file from further processing, preventing unnecessary analysis or notifications. This exclusion mechanism helps reduce computational overhead and noise in version control workflows by filtering out irrelevant file types, such as temporary or generated files. The apparatus may also compare the modified file against a baseline version to assess its significance, ensuring only meaningful changes are tracked. The ignore list can be customized to adapt to different project requirements, improving efficiency in version control operations.
5. The computing apparatus of claim 1, wherein the instructions are further to use characters following a penultimate dot (“.”) as a filename extension.
A computing apparatus processes text input to extract a filename from a string of characters. The apparatus identifies a filename by locating the last dot in the string and using the characters before the last dot as the filename. The apparatus also uses the characters following the penultimate dot (the second-to-last dot) as the filename extension. For example, in the string "document.backup.txt", the filename would be "document.backup" and the extension would be "txt". This method ensures that filenames with multiple dots are correctly parsed, preserving the intended structure. The apparatus may also validate the extracted filename and extension against predefined rules, such as allowed characters or maximum length, to ensure compatibility with file systems. The solution addresses the challenge of accurately extracting filenames and extensions from strings containing multiple dots, which is common in file paths or user input. The apparatus operates in real-time, processing input as it is received, and can be integrated into applications requiring filename parsing, such as file managers or document processing systems. The method improves reliability in filename handling, reducing errors in file operations.
6. The computing apparatus of claim 1, wherein determining that the process has changed an existing file comprises comparing a hash of the first four-byte sequence to a hash of the second four byte sequence.
A computing apparatus monitors file changes by comparing cryptographic hashes of file data sequences to detect modifications. The apparatus identifies when a process alters an existing file by comparing a hash of the first four-byte sequence of the file to a hash of the second four-byte sequence. This comparison determines whether the file content has changed. The apparatus may also track file operations, such as read or write actions, to identify processes interacting with the file. Additionally, the apparatus can analyze file metadata, including timestamps and permissions, to further assess file changes. The system may log these changes for security auditing or integrity verification purposes. The hash comparison method ensures efficient detection of modifications by focusing on a fixed-length sequence at the beginning of the file, reducing computational overhead compared to full-file hashing. This approach is particularly useful in environments requiring real-time monitoring of file integrity, such as cybersecurity applications or data protection systems. The apparatus may integrate with existing file systems or operate as a standalone monitoring tool.
7. The computing apparatus of claim 1, wherein the identifying information comprises a hash of a four byte sequence.
A computing apparatus is designed to process and analyze data packets in a network environment, particularly focusing on identifying and managing information within these packets. The apparatus includes a processor and memory storing instructions that, when executed, enable the apparatus to extract and process identifying information from data packets. Specifically, the identifying information is derived from a hash of a four-byte sequence within the packet. This hash-based approach allows for efficient and compact representation of the identifying information, which can be used for various purposes such as packet classification, filtering, or routing. The use of a four-byte sequence ensures that the hash is derived from a manageable and meaningful portion of the packet data, balancing computational efficiency with the accuracy of identification. The apparatus may further include additional components or functionalities to handle the extracted information, such as storing it in a database, comparing it against known patterns, or triggering specific actions based on the identified information. This method enhances the performance and reliability of network operations by enabling precise and efficient identification of packet data.
8. The computing apparatus of claim 1, wherein the data structure further comprises heuristic data for the computing apparatus.
A computing apparatus is designed to process and manage data efficiently, particularly in systems where rapid access and organization of information are critical. The apparatus includes a specialized data structure that optimizes data storage and retrieval operations. This data structure is enhanced with heuristic data, which provides additional contextual or performance-related information to improve the apparatus's functionality. The heuristic data may include historical usage patterns, performance metrics, or predictive analytics that help the apparatus make more informed decisions during data processing. By integrating heuristic data, the apparatus can adapt its operations dynamically, reducing latency and improving overall efficiency. This approach is particularly useful in applications requiring real-time data analysis, such as machine learning systems, network routing, or database management. The inclusion of heuristic data allows the apparatus to anticipate future data access patterns and optimize resource allocation accordingly, leading to better performance and scalability. The apparatus may also incorporate other features, such as parallel processing capabilities or distributed computing support, to further enhance its performance in handling large-scale data operations.
9. The computing apparatus of claim 1, wherein the ransomware remediation action comprises isolating the computing apparatus by disabling a network interface.
A computing apparatus is configured to detect and remediate ransomware attacks by isolating the device from network communication. The apparatus includes a processor and memory storing instructions that, when executed, perform ransomware detection and remediation. Upon detecting ransomware, the apparatus executes a remediation action that includes isolating the device by disabling its network interface. This prevents the ransomware from spreading to other devices on the network or communicating with command-and-control servers. The isolation is achieved by deactivating the network interface, effectively cutting off network connectivity to contain the threat. The apparatus may also include additional security features, such as monitoring system behavior for suspicious activities indicative of ransomware, such as unauthorized file encryption or unusual network traffic patterns. The remediation action may further include restoring affected files from backups or terminating malicious processes. The system ensures rapid response to ransomware threats, minimizing damage and preventing lateral movement within the network.
10. The computing apparatus of claim 1, wherein the instructions are further to query a cloud security service with metadata about the computing apparatus and the process.
A computing apparatus is configured to enhance security by analyzing processes running on the system and querying a cloud security service for additional threat intelligence. The apparatus includes a processor and memory storing instructions that, when executed, perform process monitoring and security analysis. The instructions monitor processes executing on the apparatus, collect metadata about the processes, and analyze the metadata to detect potential security threats. The metadata includes process attributes such as execution context, resource usage, and behavioral patterns. If a potential threat is detected, the apparatus queries a cloud security service with the collected metadata to retrieve additional threat intelligence, such as known malicious indicators or contextual threat data. The cloud security service may provide updated threat definitions, risk assessments, or mitigation recommendations based on the metadata. This allows the apparatus to leverage external security intelligence to improve threat detection and response capabilities. The system may also apply security policies or take remediation actions based on the cloud service's response. This approach enhances security by combining local process monitoring with cloud-based threat intelligence, reducing reliance on static local threat databases and improving detection of emerging threats.
12. The one or more tangible, nontransitory computer-readable storage media of claim 11, wherein at least some filename extensions follow a final dot (“.”) in a file's name.
A system and method for managing file naming conventions in a computing environment addresses the challenge of inconsistent or ambiguous file naming, which can lead to errors in file identification, retrieval, and processing. The invention provides a structured approach to file naming by enforcing rules for filename extensions, ensuring that at least some extensions follow a final dot (".") in a file's name. This helps standardize file identification, improves compatibility with software systems that rely on extensions, and reduces errors in file handling. The system may include a validation module that checks filenames against predefined rules, ensuring compliance with the extension format. Additionally, the system may include a correction module that automatically adjusts filenames to meet the required format, either by adding or modifying extensions. The invention may also support user-defined rules for extension placement, allowing flexibility in naming conventions while maintaining consistency. By enforcing these rules, the system enhances file organization, reduces ambiguity, and improves system interoperability.
13. The one or more tangible, nontransitory computer-readable storage media of claim 11, wherein the four-byte sequences are a first four bytes of a file.
A system and method for detecting file types based on initial byte sequences. The technology addresses the challenge of accurately identifying file types, particularly in environments where file extensions may be unreliable or missing. The solution involves analyzing the first four bytes of a file to determine its type, leveraging known file signatures that uniquely identify different file formats. The system processes these byte sequences to match them against a database of known file signatures, enabling precise file type classification. This approach improves reliability in file handling, security scanning, and data management by ensuring accurate file identification regardless of metadata inconsistencies. The method is implemented via computer-readable storage media containing executable instructions for performing the analysis, ensuring compatibility with various computing environments. The focus on the first four bytes optimizes performance while maintaining high accuracy, as many file formats use distinct signatures in their initial bytes. This technique is particularly useful in applications requiring automated file processing, such as antivirus software, data indexing systems, and file management tools.
14. The one or more tangible, nontransitory computer-readable storage media of claim 11, wherein the instructions are further to exclude a file based on determining that the first filename extension for the changed file is included in an ignore list.
A system and method for managing file changes in a computing environment involves monitoring a file system to detect modifications to files. When a file is changed, the system identifies the file's first filename extension and checks whether that extension is listed in a predefined ignore list. If the extension is found in the ignore list, the file is excluded from further processing. This exclusion prevents certain file types from triggering subsequent actions, such as notifications, backups, or version control updates, thereby optimizing system performance and reducing unnecessary operations. The ignore list can be configured to include common temporary or system-generated file extensions, such as those used by text editors or operating system processes, ensuring that only relevant file changes are processed. The system may also apply additional criteria, such as file size or modification time, to further refine which files are excluded. This approach enhances efficiency by minimizing resource consumption and avoiding disruptions caused by irrelevant file changes.
15. The one or more tangible, nontransitory computer-readable storage media of claim 11, wherein the instructions are further to use characters following a penultimate dot (“.”) as a filename extension.
A system and method for processing text data involves analyzing strings of characters to identify and extract filename extensions. The system receives a text input containing one or more strings, each string representing a potential filename. The system then processes these strings to locate a penultimate dot (the second-to-last dot) in each string. Characters following this penultimate dot are designated as the filename extension. This approach ensures that even if a string contains multiple dots, the correct extension is identified based on its position relative to the last dot. The system may also validate the extracted extension against a predefined list of valid extensions to ensure accuracy. This method is particularly useful in file management systems where accurate filename parsing is critical for operations such as file organization, indexing, or retrieval. The solution addresses the challenge of correctly identifying filename extensions in strings that may contain multiple dots, which is common in modern computing environments where filenames often include version numbers, identifiers, or other metadata. The system is implemented using computer-readable instructions stored on non-transitory media, ensuring reliable and consistent execution across different computing platforms.
16. The one or more tangible, nontransitory computer-readable storage media of claim 11, wherein determining that the process has changed an existing file comprises comparing a hash of the first four-byte sequence to a hash of the second four byte sequence.
This invention relates to computer systems for detecting changes in files by comparing hash values of file sequences. The problem addressed is efficiently identifying modifications to files without analyzing the entire file content, which can be computationally expensive. The solution involves comparing hash values of specific byte sequences from different versions of a file to determine if changes have occurred. Specifically, the system computes a hash of a first four-byte sequence from a file and compares it to a hash of a second four-byte sequence from the same or a different version of the file. If the hashes differ, the system concludes that the file has been modified. This approach reduces processing overhead by focusing on small, representative portions of the file rather than the entire content. The method can be applied to various file types and versions, enabling efficient change detection in storage systems, version control, or backup applications. The use of hash comparisons ensures accuracy while minimizing computational resources. The invention may also include additional steps such as generating alerts or logging changes when modifications are detected. This technique is particularly useful in environments where rapid and reliable file change detection is critical, such as in data integrity verification or automated backup systems.
17. The one or more tangible, nontransitory computer-readable storage media of claim 11, wherein the identifying information comprises a hash of a four byte sequence.
18. The one or more tangible, nontransitory computer-readable storage media of claim 11, wherein the data structure further comprises heuristic data for a computing apparatus.
A system and method for managing data structures in computing environments addresses the challenge of efficiently organizing and retrieving data in large-scale computing systems. The invention involves a data structure stored on one or more tangible, nontransitory computer-readable storage media, where the data structure includes heuristic data for a computing apparatus. This heuristic data enables the computing apparatus to optimize performance by leveraging historical or learned patterns to improve decision-making processes. The data structure is designed to facilitate rapid access and processing of information, reducing latency and enhancing computational efficiency. The heuristic data may include rules, models, or statistical information derived from previous operations, allowing the computing apparatus to adapt its behavior dynamically. This approach improves system responsiveness and accuracy in tasks such as data retrieval, processing, and decision-making. The invention is particularly useful in environments where real-time performance and adaptability are critical, such as in artificial intelligence, machine learning, and high-performance computing applications. By incorporating heuristic data, the system can anticipate and respond to changing conditions more effectively, leading to better overall performance and resource utilization.
20. The method of claim 19, further comprising determining that the suspicious file extension is a file type extension not found in the system profile.
A system and method for detecting suspicious file extensions in a computing environment. The technology addresses the problem of malicious actors using deceptive file extensions to bypass security measures and execute harmful code. The system monitors file operations and identifies files with extensions that do not match the expected file types based on their content or system profiles. When a file extension is flagged as suspicious, the system takes action to prevent potential security breaches, such as blocking the file or alerting security personnel. The method includes analyzing file metadata, comparing extensions against a predefined list of valid extensions, and cross-referencing with system profiles to ensure consistency. If a file extension is determined to be suspicious—such as an extension not found in the system profile—the system triggers a security response. This approach enhances threat detection by identifying discrepancies between file extensions and their actual content, reducing the risk of malware execution. The solution is particularly useful in environments where file-based attacks are common, such as email attachments or downloaded files.
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December 12, 2019
December 20, 2022
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